Method and apparatus for predicting work of breathing
A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or nonlinear calculations using multiple parameters derived from the above-mentioned sensors.
1. A method for estimating actual effort of breathing of a patient, comprising:
receiving respiratory parameters of the patient;
calculating respiratory data from the respiratory parameters;
inputting the respiratory data into a mathematical model created using clinical data from a population of patients, wherein the clinical data includes pleural pressure or a surrogate of pleural pressure; and
generating, using the mathematical model, at least one output variable corresponding to quantified patient respiratory effort,
wherein the quantified patient respiratory effort is an estimate of the patient's actual effort of breathing throughout an entire breath, and
wherein the at least one output variable is generated by a processor configured to run the mathematical model.
2. The method of claim 1 wherein effort of breathing represents a physiologic work of breathing and an imposed work of breathing.
3. The method of claim 1 wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram.
4. The method of claim 1 , wherein the mathematical model is selected from the group consisting of a neural network model, a fuzzy logic model, a mixture of experts model, or a polynomial model.
5. The method of claim 1 , wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform.
6. The method of claim 5 , wherein the respiratory resistance is derived from an initial airway pressure rise at a beginning portion of an inspiratory phase.
7. The method of claim 6 , wherein the beginning portion of the inspiratory phase is selected in the range of 0.0 seconds to 0.05 seconds from a start of the inspiratory phase.
8. The method of claim 1 , further comprising providing said at least one output variable from the mathematical model to a ventilator to adjust a ventilator setting.
9. The method of claim 1 , further comprising providing the output variable from the mathematical model corresponding to effort of breathing to a display.
10. The method of claim 1 , wherein the output variable comprises one or more of a physiologic work of breathing variable, an imposed work of breathing variable, a power of breathing variable, and a pressure time product variable, each representing the effort exerted by the patient to breathe.
11. A method for estimating actual effort of breathing of a patient, comprising:
receiving respiratory parameters of a patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram;
calculating respiratory data from the respiratory parameters, wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform;
inputting the respiratory data into a mathematical model configured from clinical data collected from a population of patients to predict effort of breathing, wherein the clinical data includes pleural pressure or a surrogate of pleural pressure; and
generating, using the mathematical model, at least one output variable corresponding to quantified patient respiratory effort,
wherein the quantified patient respiratory effort is an estimate of the patient's actual effort of breathing throughout an entire breath and
wherein the at least one output variable is generated by a processor configured to run the mathematical model.
12. The method of claim 11 , wherein the output variable comprises one or more of a physiologic work of breathing variable, an imposed work of breathing variable, a power of breathing variable, and a pressure time product variable, each representing the effort exerted by the patient to breathe.
13. An apparatus for estimating actual effort of breathing of a patient, comprising:
a processing device for calculating respiratory data from respiratory parameters of the patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram, and wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform;
a mathematical modeling device created using clinical data collected from a population of patients to receive the respiratory data and predict the actual effort of breathing, wherein the clinical data includes pleural pressure or a surrogate of pleural pressure; and
an output signal that provides at least one output variable from the mathematical model corresponding to quantified patient respiratory effort,
wherein the quantified patient respiratory effort is an estimate of the patient's actual effort of breathing throughout an entire breath.
14. The apparatus of claim 13 , wherein the output variable comprises one or more of a physiologic work of breathing variable, an imposed work of breathing variable, a power of breathing variable, and a pressure time product variable, each representing the effort exerted by the patient to breathe.
15. A system for estimating actual effort of breathing of a patient, comprising:
means for measuring respiratory parameters of the patient, wherein the respiratory parameters comprise one or more of airway pressure, airway flow, airway volume, carbon dioxide flow, and pulse oximeter plethysmogram;
means for calculating respiratory data from the respiratory parameters, wherein the respiratory data comprises one or more of tidal volume, breathing frequency, peak inspiratory pressure, inspiratory time, occlusion pressure at 0.1 seconds after breath initiation trigger time, trigger depth, respiratory resistance, respiratory compliance, end-tidal carbon dioxide, variations in the pulse oximeter plethysmogram, and concavity/convexity of a pressure waveform;
means for predicting effort of breathing using a mathematical model created using clinical data collected from a population of patients that receives the respiratory data, wherein the clinical data includes pleural pressure or a surrogate of pleural pressure; and
means for providing at least one output variable generated from the mathematical model corresponding to quantified patient respiratory effort,
wherein the quantified patient respiratory effort is an estimate of the patient's actual effort of breathing throughout an entire breath.
16. The system of claim 15 , wherein the output variable comprises one or more of a physiologic work of breathing variable, an imposed work of breathing variable, a power of breathing variable, and a pressure time product variable, each representing the effort exerted by the patient to breathe.
17. The method of claim 1 , wherein the at least one output variable corresponds to quantified patient respiratory effort derived from esophageal pressure or pleural pressure.
18. The method of claim 11 , wherein the at least one output variable corresponds to quantified patient respiratory effort derived from esophageal pressure or pleural pressure.
19. The apparatus of claim 13 , wherein the at least one output variable corresponds to quantified patient respiratory effort derived from esophageal pressure or pleural pressure.
20. The system of claim 15 , wherein the at least one output variable corresponds to quantified patient respiratory effort derived from esophageal pressure or pleural pressure.